(2D)2 DLDA for efficient face recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4319 LNCS, Issue , 2006, Pages 314-321

  Cho, Dong Uk ^a   Chang, Un Dong ^b   Kim, Kwan Dong ^b   Kim, Bong Hyun ^c   Lee, Se Hwan ^c  

^a Chungbuk Provincial College   (South Korea)

^b Chungbuk National University   (South Korea)

^c Hanbat National University   (South Korea)

Author keywords

Direct LDA; Face recognition; Linear discriminant analysis

Indexed keywords

DISCRIMINANT ANALYSIS;

DIRECT LDA; DIRECT LINEAR DISCRIMINANT ANALYSIS; FEATURE REPRESENTATION; LINEAR DISCRIMINANT ANALYSIS; ORL FACE DATABASE; SCATTER MATRIX; SMALL SAMPLE SIZE PROBLEMS; TWO-DIRECTIONAL;

FACE RECOGNITION;

EID: 53949094602     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11949534_31     Document Type: Conference Paper

References (9)

1. Fukunaga, K.: Introduction to Statistical Pattern Recognition. 2nd edn. Academic Press, New York (1990)
2. Belhumeour, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Trans. Pattern Analysis and Machine Intelligence. Vol. 19. No. 7. (1997) 711-720
3. Chen, L., Liao, H., Ko, M., Lin, J., Yu, G.: A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recognition. Vol. 33. No. 10. (2000) 1713-1726
4. Yu, H., Yang, J.: A direct LDA algorithm for high-dimensional data with application to face recognition. Pattern Recognition. Vol. 34. No. 10. (2001) 2067-2070
5. Lu, J., Plataniotis, K. N., Venetsanopoulos, A. N.: Face Recognition Using Kernel Direct Discriminant Analysis Algorithms. IEEE Trans. Neural Networks. Vol. 14. No. 1. (2003) 117-126
6. Pentland, A., Moghaddam, B., Starner, T.: View-based and modular eigenspaces for face Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. (1994) 84-91
7. Turk, M., Pentalnd, A.: Eigenfaces for recognition. J. Cognitive Neurosci. Vol. 3. No. 1. (1991) 71-86
8. Yang, J., Zhang, D., Frangi, A.F., Yang, J.: Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition. IEEE Trans. Pattern Analysis and Machine Intelligence. Vol. 26. No. 1. (2004) 131-137
9. Wang, L., Wang, X., Zhang, X., Feng, J.: The equivalence of two-dimensional PCA to linebased PCA. Pattern Recognition Letters. Vol. 26. (2005) 57-60